Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Current control of steering feel feedback motor based on adaptive prediction correction and parameter robust identification method. |
| Συγγραφείς: |
Zhou, Guan1 (AUTHOR) zg1112221101@126.com, Li, Zhongbao1 (AUTHOR), Fang, Zihao1 (AUTHOR), Deng, Haojie2 (AUTHOR), Hu, Demin1 (AUTHOR) |
| Πηγή: |
International Journal of Control. Sep2026, Vol. 99 Issue 9, p2937-2957. 21p. |
| Θεματικοί όροι: |
*Sampling errors, *Permanent magnet motors, *System identification, *Polynomial chaos |
| Περίληψη: |
This paper proposes a robust current control strategy for permanent magnet synchronous motors in steer-by-wire steering feel feedback systems under sampling errors and parameter variations. A residual-driven adaptive current prediction correction method is developed to dynamically fuse measured and predicted currents, thereby reducing the influence of sampling distortion. Meanwhile, a Polynomial Chaos Expansion-enhanced Adaptive Extended Kalman Filter is introduced to identify stator resistance and equivalent inductance online while characterising parameter uncertainty. Simulation results show that, under a 2 A sampling error, the proposed method reduces the average current oscillation amplitude by 56.09% and 56.29% compared with PI and deadbeat predictive control, respectively. Under parameter step variations, the torque tracking error index is reduced by 43.45% and 61.02%, demonstrating improved current robustness and steering feel torque fidelity. [ABSTRACT FROM AUTHOR] |
| Βάση Δεδομένων: |
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